SRE Engineer

• Observability & Monitoring: Standardize and automate Dynatrace installations, integrate telemetry collection into CI/CD pipelines, enforce tagging/metadata standards, configure distributed tracing with context propagation, and optimize custom dashboards and anomaly alerts.
• Deployment & Automation: Design, implement, and maintain CI/CD pipelines using GitHub Actions, AWS Code Pipeline, or Jenkins; provision scalable cloud infrastructure using Terraform, CloudFormation, or AWS CDK.
• Incident & Problem Management: Serve as a production on-call responder using ITIL frameworks and ServiceNow; lead troubleshooting efforts, conduct deep root-cause analysis (RCA), and author comprehensive knowledge base articles.
• Reliability Engineering: Champion SRE metrics including Service Level Indicators (SLIs), Service Level Objectives (SLOs), and error budgets; design and execute resiliency test plans and support performance testing.
• Performance & Capacity Optimization: Drive operational cost optimization initiatives across cloud environments and configure robust auto-scaling policies and thresholds.
• Security & Compliance: Manage service accounts, access permissions, and digital certificates; respond rapidly to security incidents and execute remediation protocols.

Metadata, Telemetry, Reporting Dashboards, Continuous Deployment/Delivery, Continuous Integration, Jenkins, GitHub, Automation, Cloud Computing, Amazon Web Services (AWS), * Education & Experience: Bachelor’s degree in Computer Science, Engineering, or a related technical field, paired with 2 to 4 years of hands-on experience in SRE, DevOps, or infrastructure-focused roles.

• Cloud & Containerization: Practical, hands-on experience managing multi-tenant environments within AWS and Azure, alongside a solid understanding of container technologies like Docker, Kubernetes, and Amazon ECS.
• Automation & Scripting: Mid-level proficiency in Python (or similar scripting languages) and practical experience with configuration management tools like Ansible to build automated self-service tools.
• Systems & Networking Architecture: Strong foundational knowledge of Linux systems engineering, core networking concepts, and navigating relational, cloud-native, and NoSQL databases.
• Professional Competencies: Excellent written and verbal communication skills for cross-functional collaboration, a proven ability to work independently, and the flexibility to participate in an on-call rotation outside standard business hours.